Book Image

Hands-On High Performance Programming with Qt 5

By : Marek Krajewski
5 (1)
Book Image

Hands-On High Performance Programming with Qt 5

5 (1)
By: Marek Krajewski

Overview of this book

Achieving efficient code through performance tuning is one of the key challenges faced by many programmers. This book looks at Qt programming from a performance perspective. You'll explore the performance problems encountered when using the Qt framework and means and ways to resolve them and optimize performance. The book highlights performance improvements and new features released in Qt 5.9, Qt 5.11, and 5.12 (LTE). You'll master general computer performance best practices and tools, which can help you identify the reasons behind low performance, and the most common performance pitfalls experienced when using the Qt framework. In the following chapters, you’ll explore multithreading and asynchronous programming with C++ and Qt and learn the importance and efficient use of data structures. You'll also get the opportunity to work through techniques such as memory management and design guidelines, which are essential to improve application performance. Comprehensive sections that cover all these concepts will prepare you for gaining hands-on experience of some of Qt's most exciting application fields - the mobile and embedded development domains. By the end of this book, you'll be ready to build Qt applications that are more efficient, concurrent, and performance-oriented in nature
Table of Contents (14 chapters)

Optimizing with algorithms and data structures

We have learned much about Qt classes and their pitfalls and a couple of techniques for working with strings. But it is always said that the choice of algorithms is the most important part for influencing performance. We will try to give some more high-level advice on that to wrap up for this chapter.

Optimizing with algorithms

The basic rule for optimizing your algorithm could be stated as, "Don't repeat yourself," or rather, "Don't repeat computations." You can do it in several ways, for example by:

  • Omitting work using knowledge about the structure of the problem: For example, divide a task into subtasks and combine the results.

When you are doing...